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Title: 基于同被引分析的科学结构图
Author: 王小梅; 韩涛; 王俊; 吴清强; 张晓林
Source: 科学观察
Issued Date: 2009
Issue: 4, Pages:1-15
Keyword: 科学图谱 同被引 聚类 可视化 研究领域
Subject: 情报研究
Indexed Type: 其他
Abstract: 通过对汤森路透科技集团的基本科学指标库(Essential Science Indicators)2002-2007年间的高被引论文进行同被引聚类,揭示出121个研究领域,并绘制了科学图谱以展现各研究领域间的关联程度。在此基础上,分析了121个研究领域的学科交叉性。希望通过研究和揭示科学结构及其演化,为各领域研究提供一种思考问题、发现潜在交叉学科和“热点”领域的方法。
English Abstract:
121 research areas were explored through co-citation cluster on a group of highly cited papers, 2002-2007, from Essential Science Indicators and a map of science was generated to analyze how research areas were related to each other. On the basis, interdisciplinarity of 121 research areas were analyzed. A possible approach was provided to discover new scientific problems, potential interdiscipline and “hot” area in research areas by analysis of mapping and evolution of science.
WOS Keyword Plus: science map, co-citation, cluster, visualization, research area
Language: 中文
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/2422
Appears in Collections:中国科学院文献情报中心_情报研究部_期刊论文

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Recommended Citation:
王小梅,韩涛,王俊,等. 基于同被引分析的科学结构图[J]. 科学观察,2009(4):1-15.
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文件名: 基于同被引分析的科学结构图.pdf
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